Load Forecast In Ac Network TRIZ Cases
- Demand response of loads having thermal reserves
See how cloud-based switching of thermal loads like air conditioners and water heaters smooths
- Photovoltaic water heating control system and process
See how a PV controller optimizes photovoltaic, grid, and renewable sources to heat water effic
- Thermal Reserve Load Switching for Grid Peak Demand Smoothing
See how cloud-based switching of thermal loads like air conditioners and water heaters smooths
- Domestic energy generation installation and operating method for operating a domestic energy generation installation
See how predictive energy balance and time-range algorithms control fuel cell and electrolysis
- Independent Operation Configuration for Stable Power Recovery
Precomputed configuration plans and propriety checks help distribution networks sustain stable independent operation while maximizing recoverable load.
- AI Power Consumption Prediction for Unknown Home Devices
Mixed household power data is disaggregated with a neural network to estimate unknown device usage and improve home energy prediction.
- Chronological AC Power Flow Cases From PCM Grid Simulations
Transforms DC production cost model results into converged chronological AC power flow cases for large grids, including loss and voltage handling.
- Energy Storage Recharging Control for Energy-Negative States
Sensor-driven control detects energy-negative periods and schedules recharging to prevent reserve depletion and keep critical loads powered.
- UPS Predictive Load Compensation for Real-Time Power Conditioning
Predictive load compensation uses telemetry, analog twinning, and a bidirectional battery to stabilize UPS output during transients.
- Heat Generation Control in Local Energy Markets With Fewer Starts
A central controller balances thermal load forecasts and grid exchanges to cut heat unit starts, wear, storage losses, costs, and emissions.
- Power Load Prediction Using Similar-Day Temperature Correction
Air temperature differences are used to adjust similar-day load values, improving power load prediction accuracy in high-temperature weather.
- Energy Technology Forecasting for Interdependent Savings Analysis
Sequential impact modeling captures interdependencies between energy technologies to forecast site energy use and cost savings more accurately.
- Battery Pack Selection Control for Low-Speed EV Exchange Cycles
Predicted power demand and pack state data guide battery selection to cut degradation and extend exchange cycles in low-speed EV fleets.
- Electrical Load Model Calibration for Privacy-Preserving Regional Forecasting
Regional servers fine-tune electrical load models with local data and share only parameter updates, improving forecast accuracy without exposing meter data.
- Micro-Grid Energy Planning Using Mobility-Aware Connected Lighting
Mobility data from connected lighting and telecom networks predicts micro-grid demand and enables dynamic power-source switching to cut energy costs.
- Relay Load Management With Predictive Neutral Sensing for BESS
Sub-millisecond neutral sensing and ML load prediction let BESS relays manage 120V and 240V circuits without extra wiring.